Further Causality Evidence on Arms Race, Inflation and Economic Growth
Lin Hung-Pin (),
Tsung-Li Wang () and
Cheng-Lang Yang ()
Additional contact information
Lin Hung-Pin: Shu-Te University of Taiwan
Tsung-Li Wang: Shu-Te University of Taiwan
Cheng-Lang Yang: Nanhua University of Taiwan
ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2016, vol. 50, issue 2, 123-136
Abstract:
This paper examines the effects of expanding the ratio of defense spending on long-run inflation and economic growth by constructing an endogenous growth model and employing empirical approaches for China, Japan, South Korea, and Taiwan over the period between 1955 and 2010. By analyzing cointegration test results, it is found that: (1) the increase of the ratio of defense spending leads to a lower long-run inflation rate in China and Japan, but higher inflation rate in Taiwan; (2) the increase of the ratio of defense spending leads to a higher long-run economic growth, supporting the famously Benoit Hypothesis for China, Japan and Taiwan; (3) The results of bidirectional Granger causality test suggests that an arms race exists among the cross-country pairs of China and Japan, China and Taiwan, and the last pair, Japan and South Korea. Based on (1) to (3), as the ratio of defense spending increases, an arms race, higher economic growth and lower inflation coexist in China and Japan. These findings may also be an explanation of why, in view of economic performance, those arms race and disarmament issues have been advocated in recent years.
Keywords: Benoit hypothesis; Causality; Defense spending; Economic growth; Inflation rate. (search for similar items in EconPapers)
JEL-codes: C82 H50 O23 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
ftp://www.eadr.ro/RePEc/cys/ecocyb_pdf/ecocyb2_2016p123-136.pdf
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cys:ecocyb:v:50:y:2016:i:2:p:123-136
Access Statistics for this article
ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH is currently edited by Gheorghe RUXANDA
More articles in ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH from Faculty of Economic Cybernetics, Statistics and Informatics Contact information at EDIRC.
Bibliographic data for series maintained by Corina Saman ().